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Data Augmentation
3622 directly classified papers
Papers per year
2002: 2
2006: 1
2008: 2
2009: 1
2011: 3
2012: 3
2013: 9
2014: 8
2015: 7
2016: 35
2017: 45
2018: 108
2019: 239
2020: 329
2021: 477
2022: 518
2023: 607
2024: 561
2025: 546
2026: 121
Papers
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels
CVPR 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
CVPR 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
CVPR 2021
More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
CVPR 2021
Repopulating Street Scenes
CVPR 2021
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
CVPR 2021
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training
CVPR 2021
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
CVPR 2021
Quality-Agnostic Image Recognition via Invertible Decoder
CVPR 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search
CVPR 2021
Learning To Restore Hazy Video: A New Real-World Dataset and a New Method
CVPR 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
CVPR 2021
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021
Study of Manifestation of Civil Unrest on Twitter
EMNLP 2021
Tailoring automated data augmentation to H&E-stained histopathology
MIDL 2021
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction
CONLL 2021
HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training
SEMEVAL 2021
PAW at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation : Exploring Cross Lingual Transfer, Augmentations and Adversarial Training
SEMEVAL 2021
eTranslation’s Submissions to the WMT 2021 News Translation Task
EMNLP 2021
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
EMNLP 2021
[RETRACTED] DMix: Distance Constrained Interpolative Mixup
EMNLP 2021
Learning Data Augmentation Schedules for Natural Language Processing
EMNLP 2021
Validating Label Consistency in NER Data Annotation
EMNLP 2021
Sister Help: Data Augmentation for Frame-Semantic Role Labeling
EMNLP 2021
On Generalization in Coreference Resolution
EMNLP 2021
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